TY - JOUR
T1 - Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method
T2 - A Case Study of Tirumala Region in India
AU - Kumar, Mekalathur B Hemanth
AU - Balasubramaniyan, Saravanan
AU - Padmanaban, Sanjeevikumar
AU - Holm-Nielsen, Jens Bo
PY - 2019/6/5
Y1 - 2019/6/5
N2 - In this paper the multiverse optimization (MVO) was used for estimating Weibull parameters. These parameters were further used to analyze the wind data available at a particular location in the Tirumala region in India. An effort had been made to study the wind potential in this region (13°41′30.4″ N 79°21′34.4″ E) using the Weibull parameters. The wind data had been measured at this site for a period of six years from January 2012 to December 2017. The analysis was performed at two different hub heights of 10 m and 65 m. The frequency distribution of wind speed, wind direction and mean wind speeds were calculated for this region. To compare the performance of the MVO, gray wolf optimizer (GWO), moth flame optimization (MFO), particle swarm optimization (PSO) and other numerical methods were considered. From this study, the performance had been analyzed and the best results were obtained by using the MVO with an error less than one. Along with the Weibull frequency distribution for the selected region, wind direction and wind speed were also provided. From the analysis, wind speed from 2 m/s to 10 m/s was present in sector 260–280° and wind from 0–4 m/s were present in sector 170–180° of the Tirumala region in India.
AB - In this paper the multiverse optimization (MVO) was used for estimating Weibull parameters. These parameters were further used to analyze the wind data available at a particular location in the Tirumala region in India. An effort had been made to study the wind potential in this region (13°41′30.4″ N 79°21′34.4″ E) using the Weibull parameters. The wind data had been measured at this site for a period of six years from January 2012 to December 2017. The analysis was performed at two different hub heights of 10 m and 65 m. The frequency distribution of wind speed, wind direction and mean wind speeds were calculated for this region. To compare the performance of the MVO, gray wolf optimizer (GWO), moth flame optimization (MFO), particle swarm optimization (PSO) and other numerical methods were considered. From this study, the performance had been analyzed and the best results were obtained by using the MVO with an error less than one. Along with the Weibull frequency distribution for the selected region, wind direction and wind speed were also provided. From the analysis, wind speed from 2 m/s to 10 m/s was present in sector 260–280° and wind from 0–4 m/s were present in sector 170–180° of the Tirumala region in India.
KW - Multiverse optimization
KW - Weibull distribution
KW - Wind resource assessment
KW - Numerical methods
KW - Wind data
UR - http://www.scopus.com/inward/record.url?scp=85067407073&partnerID=8YFLogxK
U2 - 10.3390/en12112158
DO - 10.3390/en12112158
M3 - Journal article
SN - 1996-1073
VL - 12
JO - Energies
JF - Energies
IS - 11
M1 - 2158
ER -